Description
Key Learnings
- Learn how to create optimal solutions when faced with competing goals and inputs by using generative design.
- Learn how to build viable quantification systems in both relative and finite scope to define successful results.
- Learn how to compare multiple viable solutions at various scales to ensure projects move forward with confidence.
- Discover a sampling of options for review/decision without requiring significant rework.
Speakers
- Jacob SmallAfter attaining his Bachelor of Architecture degree from Wentworth Institute of Technology, Jacob Small began his work at a small firm on the north shore of Massachusetts, before joining CBT architects in Boston where he gained exposure to larger scale projects. In 2017 he joined Autodesk, where he puts his 10+ years of experience in the AEC industry and expertise with Revit, AutoCAD, and Dynamo to help enterprise priority customers adopt computational design into their daily workflows.
- ANAlexandra NelsonAlexandra Nelson is a member of the Design Technology team at Perkins Eastman, where she acts as a firm-wide representative focused on advancing the efficacy of the firms design initiatives in the execution of its projects and global design technology strategy. She previously worked on the Design Technology team at Grimshaw Architects, where she was one of two BIM specialists in the New York office. Her research is focused around automation and data collection in Revit, with a current focus in space analytics and generative design.
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